戴进墩,刘亚东,毛先胤,盛戈皞,江秀臣.基于NSCT域FAST角点检测的电气设备红外与可见光图像配准[J].电测与仪表,2019,56(1):108-114. Dai Jindun,Liu Yadong,Mao Xianyin,Sheng Gehao,Jiang Xiuchen.Registration Based on NSCT-Domain FAST Corner Detection for Infrared and Visible Images of Electrical Equipment[J].Electrical Measurement & Instrumentation,2019,56(1):108-114.
基于NSCT域FAST角点检测的电气设备红外与可见光图像配准
Registration Based on NSCT-Domain FAST Corner Detection for Infrared and Visible Images of Electrical Equipment
Infrared and visible image registration has become a big challenge in online monitoring system for high voltage electric equipment. To address this problem, an efficient registration method based on modified features from accelerated segment test (FAST) in non-subsample Contourlet transform (NSCT) domain is proposed. Firstly, the two images are preprocessed by gray-level equalization. After that, NSCT decomposition is applied to obtain low-frequency subband images. And corner points are detected from the low-frequency images as interest points by FAST. Their descriptors are calculated by partially intensity invariant feature descriptor (PIIFD) and used to make rough matching through best bin distance ratio. Finally, random sample consensus (RANSAC) is further utilized to refine the matched interest point pairs and affine transformation parameters between infrared and visible images are determined. Subjective and objective evaluation on experimental results shows that the proposed method achieves significant improvement in registration accuracy, computation speed and interference robustness with its practical value.
